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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and autonomous systems. Our multidisciplinary team operates at the intersection of neuroscience-inspired AI and real-world deployment, offering unparalleled resources and collaborative freedom. This role combines deep theoretical research with practical impact, working directly with Fortune 500 partners to solve humanity's most complex challenges.

Responsibilities

  • Lead R&D initiatives in quantum-entangled neural networks and next-gen AI architectures
  • Develop novel algorithms for autonomous decision-making systems with ethical frameworks
  • Collaborate with robotics teams to integrate advanced perception models into physical systems
  • Publish 2-3 peer-reviewed papers annually in top-tier AI/ML conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Translate theoretical models into production-ready solutions for enterprise clients
  • Participate in patent development for novel AI methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Expertise in transformer architectures, reinforcement learning, and quantum computing principles
  • Publication record at NeurIPS/ICML/ICLR with 10+ citations per average paper
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated experience deploying ML models at scale (>100M users)
  • Strong background in ethical AI alignment and bias mitigation techniques
  • Experience securing $1M+ in research grants or industry partnerships

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch Reinforcement Learning AI Ethics Distributed Systems Research Leadership

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